System and method for providing a linear spread

ABSTRACT

A system and method for providing a linear spread in an electronic trading environment are described. According to one example embodiment, a trading system can receive market information associated to a trading strategy, known as a spread. The trader may also define a market volatility parameter to utilize in the calculation of a linear spread price axis. The received market information and a divide spread algorithm are also used to determine the linear spread price axis. The trading application determines a linear spread price axis, at which price levels are separated by consistent linear tick increments. The linear spread price axis allows for more efficient and effective trading in the electronic trading environment especially when certain tradeable objects are traded or when certain spread algorithms, like the divide spread algorithm, are utilized.

FIELD OF INVENTION

The present invention is directed towards a method of providing a linearprice axis for a trading strategy in an electronic trading environment.

BACKGROUND

In recent years, a trend towards electronic trading has becomewell-established, causing one major exchange after another to replace orat least supplement the traditional open outcry where a trade is doneface to face, with electronic systems which automatically match bids andoffers. While the motivation behind using electronic trading may varyfrom market to market, greater efficiency and volume are some of theconsiderations.

In particular, subscribing traders are connected to an exchange'selectronic trading platform by way of a communication link and throughan application program interface to facilitate real-time electronicmessaging between themselves and the exchange. The electronic messagingincludes market information that is sent from the electronic exchange tothe traders. Market information may include data that represents justthe inside market. The inside market is the lowest sell price (best orlowest ask) and the highest buy price (best or highest bid) at aparticular point in time. Market information may also include marketdepth. Market depth refers to quantities available at the inside marketand can also refer to quantities available at other prices away from theinside market. Additionally, the electronic exchange can offer othertypes of market information such as the last traded price (“LTP”), orthe last traded quantity (“LTQ”).

Regardless of how the communication link is established, the clientdevice provides a way for a trader to participate in the electronicmarket. Generally, each client device uses software that createsspecialized interactive trading screens. The trading screens enable thetraders to enter and execute orders, obtain market quotes, and monitorpositions for one or more tradeable objects while implementing varioustrading strategies including those previously used on the floor of anopen-outcry exchange.

As used herein, the term “tradeable object” refers to anything that canbe traded with a quantity and price. For example, tradeable objects mayinclude, but are not limited to, all types of traded financial products,such as, for example, stocks, options, bonds, futures, currency, andwarrants, as well as funds, derivatives, and collections of theforegoing. Moreover, tradeable objects may include all types ofcommodities, such as grains, energy, and metals. Also, a tradeableobject may be “real,” such as products that are listed by an exchangefor trading, or “synthetic,” such as a combination of real products thatis created by the trader (e.g. spread). A tradeable object could also bea combination of other tradeable objects, such as a class of tradeableobjects or a trading strategy.

Trading strategies incorporated into electronic trading can improveamong other things, the speed, accuracy, and ultimately theprofitability of trading electronically. One such trading strategy isspread trading. Spread trading is the buying and/or selling of two ormore tradeable objects, the purpose of which is to capitalize on changesor movements in the relationships between the tradeable objects. Eachtradeable object of the spread can also be referred to as a “leg” of thespread. A spread trade could involve buying in two or more legs, buyingand selling in two or more legs, selling in two or more legs or somecombination thereof. Often, the tradeable objects being spread are realcontracts for different delivery months (expiration dates) of the sametradeable object or contracts of the same tradeable object at differentstrike prices, but sometimes involve different real tradeable objects orthe same tradeable object on different exchanges.

There are a variety of different algorithms that can be used to spreadtrade. To generate spread prices, one conventional spread algorithmcalls for summing certain prices from each of the legs, where buying aleg is positive and selling a leg is negative. For instance, assume thata trader is interested in buying a first leg and selling a second leg.To generate prices in this example, a computer processor takes certainprices from the first leg and subtracts certain prices from the secondleg. However, the use of addition and subtraction is ineffective forspread trading currencies and energy tradeable objects because of theformat the currency and energy tradeable objects are established in.Currencies, for instance, are traded as ratios to begin with, soperforming a summing calculation does not produce an accurate or usableprice for the resulting spread.

Therefore, a spread algorithm known as the divide spread (or ratiospread) algorithm is used to trade currency and energy, or other similartradeable objects. When using the divide spread algorithm, a computerprocessor calculates the spread prices by dividing certain prices in thefirst leg by certain prices in the second leg. So, for instance, usingthe divide spread algorithm, spreading currency tradeable objects knownas “USD/Euro” and “USD/Yen” results in a spread of “Euro/Yen.” Using thedivide spread algorithm, the resulting spread is tradeable, whereas theconventional algorithm of summation would have produced an unusablespread.

An electronic exchange may offer spread products like “Euro/Yen.”However, there are times when generating a spread independently (asynthetic tradeable object) yields a better price for the spread thanthe exchange provided spread (a real tradeable object). Thus, a tradermay find using a divide spread algorithm beneficial because it presentsopportunities for the trader to make a profit trading the spread. Acommercially available trading application that allows traders togenerate and electronically trade spreads is AutoSpreader™ from TradingTechnologies International, Inc. Portions of the AutoSpreader™ styledisplay can be found in U.S. patent application Ser. No. 10/137,979,entitled, “System and Method for Performing Automatic Spread Trading,”filed on May 3, 2002, incorporated herein by reference. Moreover, thegeneration and display of a spread along an axis is disclosed in U.S.patent application Ser. No. 09/880,078, entitled, “Electronic SpreadTrading Tool,” filed on Jun. 14, 2001, the contents of which are alsoincorporated herein by reference. These tools advantageously display aspread against an axis of prices for a more intuitive view of the spreadmarket. As a result, traders often times prefer to display a spreadagainst an axis.

According to the conventional algorithm of summation, the trading systemcan calculate a linear price axis for the spread using the prices fromeach of the legs. The spread price axis which results from thecalculation of such a spread, is a linear scaled price axis with pricesat consistent tick increments. Using the linear price axis, the tradercan then easily distinguish the incremental price levels on the pricesaxis as well as place orders at the calculated spread prices displayedon the price axis.

However, using the divide spread algorithm, the resulting price axis isoften non-linear and non-scaled with inconsistent prices increments. Theresulting price axis can be almost incomprehensible and impractical fora trader to use for electronic trading.

It is therefore, beneficial to provide a trading screen that offers alinear spread price axis for a trading strategy in an electronic tradingenvironment.

SUMMARY

To address these and other objectives, the example embodiments comprisea method for providing a linear price axis when spread trading certaintradeable objects or using certain spread trading algorithms that wouldnormally result in a non-linear spread axis. The method includesdefining a trading strategy of a plurality of tradeable objects, anddefining a market volatility parameter corresponding to the tradeableobjects. A linear price axis for the spread is generated using themarket volatility parameter and the market information for the tradeableobjects. Market information for the spread can be mapped to the linearprice axis.

The example embodiments described herein are adaptable to a wide varietyof trading applications that produce graphical user interfaces to tradein an electronic trading environment.

Additional features and advantages of the example embodiment will be setforth in the description that follows. The features and advantages ofthe example embodiment may be realized and obtained through theembodiments particularly pointed out in the appended claims. These andother features of the present embodiment will become more fully apparentfrom the following description and appended claims, or may be learned bythe practice of the example embodiments as set forth hereinafter.

BRIEF DESCRIPTION OF DRAWINGS

Example embodiments are described herein with reference to the followingdrawings, in which:

FIG. 1 is a block diagram illustrating an example network configurationfor a communication system utilized to access one or more electronicexchanges;

FIG. 2 is a block diagram illustrating a system for facilitating theautomatic trading of spreads over the example network shown in FIG. 1according to an example embodiment;

FIG. 3 is a block diagram illustrating an example spread configurationwindow utilized in accordance with the example system shown in FIG. 2;

FIG. 4 is a flow chart illustrating an example method for providing alinear price axis in accordance with the example embodiments;

FIG. 5 is a block diagram illustrating an example spread trading screencomprising a non-linear price axis and the linear axis manager disabled;and

FIG. 6 is a block diagram illustrating an example spread trading screencomprising a linear price axis and the linear axis manager enabled.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS I. Overview

A system and method for determining a linear price axis for a tradingstrategy in an electronic trading environment are provided. The exampleembodiments are particularly useful when spread trading certaintradeable objects or using certain spread trading algorithms that wouldnormally result in a non-linear spread axis. The divide spread algorithmis one example of a trading strategy that would normally result in anon-linear spread axis using conventional trading tools. As such, thedivide spread algorithm is utilized to illustrate the exampleembodiments; however, one of ordinary skill will recognize that thepresent invention is not so limited. Rather, the example embodiments maybe utilized for any trading strategy that for one reason or another isdifficult to trade due to non-linear tick increments.

According to the example embodiments, when using divide spreads, theotherwise non-linear spread price axis is made linear for the ease ofuse for a trader. As will be discussed in greater detail below, todetermine a linear price axis, the trading system uses, among otherthings, available market information associated with the legs and amarket volatility parameter, which is an estimate based on how much eachleg market will fluctuate around a price, such as the last traded price.Using this information the trading system can determine a tick incrementfor the spread price axis. Then, using the tick increment the tradingsystem may create the entire spread price axis and display it in alinear, intuitive, and comprehensible format to the trader. Using thelinear and scaled price axis, the trader may be able to place orders forthe spread with ease and without confusion about prices and price leveldifferences.

Additionally, as will be described in greater detail below, a trader canchange the tick increments and the number of prices levels displayed onthe trading screen by adjusting the user-defined market volatilityparameters, manually overriding other calculated prices, or by usingdifferent prices in the legs. In such an embodiment, linear spread priceaxis will be dynamically recalculated based on the modified prices.

While the example embodiments are described herein with reference toillustrative embodiments for particular applications, it should beunderstood that the example embodiments are not limited thereto. Othersystems, methods, and advantages of the present invention will be orbecome apparent to one with skill in the art upon examination of thefollowing drawings and description. It is intended that all suchadditional systems, methods, features, and advantages be within thescope of the present invention, and be protected by the accompanyingclaims.

II. Hardware and Software Overview

As will be appreciated by one of ordinary skill in the art, the exampleembodiments may be operated in an entirely software embodiment, in anentirely hardware embodiment, or in a combination thereof. However, forsake of illustration, the example embodiments are described in asoftware-based embodiment, which is executed on a computer device. Assuch, the example embodiments take the form of a computer programproduct that is stored on a computer readable storage medium and theprogram code is executed by a suitable instruction system (e.g. aprocessor) in the computer device. Any suitable computer readable mediummay be utilized including hard disks, CD-ROMs, optical storage devices,or magnetic storage devices, for example.

FIG. 1 is a block diagram illustrating an example system 100 that can beused to facilitate communication between an electronic exchange and aclient device. The system 100 includes a client device 102, gateway 104,and host exchange 106. System 100 also includes a plurality ofcommunication links 112, 114, and 116 between the client device 102,gateway 104, and host exchange 106. While FIG. 1 shows two connectionsbetween the client device 102 and the gateway 104, it should beunderstood that a single connection could be used as well. Similarly,one connection could exist between the gateway 104 and the host exchange106. During a trading session, market data 108, in the form of messages,may be relayed from the host exchange 106 over the communication links116 and 112 to the client device. As illustrated in FIG. 1, intermediatedevices, such as gateway(s) 104, may be used to facilitatecommunications between the client device 102 and the host exchange 106.It should be understood that while FIG. 1 illustrates the client device102 communicating with a single host exchange 106, in an alternativeembodiment, the client device 102 could establish trading sessions tomore than one host exchange.

The market data 108 contains information that characterizes thetradeable object's order book including, among other parameters, orderrelated parameters, such as price and quantity, and the inside market,which represents the lowest sell price (also referred to as the best orlowest ask price), and the highest buy price (also referred to as thebest or highest bid price). In some electronic markets, market data mayalso include market depth, which generally refers to quantitiesavailable for trading the tradeable object at certain buy price levelsand quantities available for trading the tradeable object at certainsell price levels.

In addition to providing the tradeable object's order book information,electronic exchanges can offer different types of market informationsuch as total traded quantity for each price level, opening price, lasttraded price, last traded quantity, closing price, or order fillinformation. It should be understood that market information providedfrom an electronic exchange could include more or fewer items dependingon the type of tradeable object or the type of exchange. Also, it shouldbe understood that the messages provided in the market data 108 may varyin size depending on the content carried by them, and the software atthe receiving end may be programmed to understand the messages and toact out certain operations.

A trader may view the information provided from an exchange via one ormore specialized trading screens created by software running on theclient device 102. Upon viewing the market information or a portionthereof, a trader may wish to take actions, such as send orders to anexchange, cancel orders at the exchange, or change order parameters, forexample. To do so, the trader may input various commands or signals intothe client device 102. Upon receiving one or more commands or signalsfrom the trader, the client device 102 may generate messages thatreflect the actions taken, generally shown at 110. It should beunderstood that different types of messages or order types can besubmitted to the host exchange 106, all of which may be consideredvarious types of transaction information. Once generated, user actionmessages 110 may be sent from the client device 102 to the host exchangeover communication links 114 and 116.

The range and quality of features available to the trader on his or hertrading screen varies according to the specific software applicationbeing run. In addition to or in place of the interactive tradingscreens, the client device 102 may run automated non-interactive typesof trading applications.

A commercially available trading application that allows a user to tradein environments like those shown in FIG. 1 and subsequent figures isX_TRADER® from Trading Technologies International, Inc. of Chicago, Ill.X_TRADER® also provides an electronic trading interface, referred to asMD Trader™, in which orders and bid/ask quantities are displayed inassociation with a static price axis. Portions of the X_TRADER® and theMD Trader™-style interface are described in U.S. Pat. No. 6,772,132entitled “Click Based Trading With Intuitive Grid Display of MarketDepth,” filed on Jun. 9, 2000, U.S. patent application Ser. No.09/971,087, entitled “Click Based Trading With Intuitive Grid Display ofMarket Depth and Price Consolidation,” filed on Oct. 5, 2001, and U.S.patent application Ser. No. 10/125,894, entitled “Trading Tools forElectronic Trading,” filed on Apr. 19, 2002, the contents of each areincorporated herein by reference.

FIG. 2 is a block diagram illustrating an example system 200 forfacilitating the automatic trading of spreads in accordance with theexample embodiments. The system 200 includes an applications programinterface (“API”) 206 that translates market data 208 for one or moretradeable objects to an appropriate data format, referred to as marketdata feed(s) 202, which are communicated between the different exchangesand trading applications hosted on the client devices. Client devicesmay be computing devices such as personal computers, laptop computers,hand-held devices, and so forth. Although it is not necessary, thesystem 200 is configured to support a plurality of exchanges and clientdevices.

For purposes of illustration, an example client device 212 is shown inmore detail to illustrate the interaction between its software and/orhardware components. The client device 212 executes program code, whichincludes a trading application 210, a linear axis manager 214, anautomatic spreader 216, and a GUI manager 218. While only fourcomponents of program code are shown in the figure with respect to theclient device 212, it is understood that the client device 212 couldinclude additional components as well, and it is also understood thattwo or more components can be combined into one larger component. Whileclient device 212 hosts and executes the program code in accordance withthe example embodiment shown in FIG. 2, other terminals or devices canexecute various aspects of the program code. For instance, a gatewaydevice or server may host and execute aspects of the program code.

In general, as shown in FIG. 2, market data feeds 202 (for tradeableobjects) are communicated from the API 206 to the trading application210 where they are stored and continuously updated (or periodicallyupdated). Using some or all of the market data feeds and the spreadsetting parameters, the automatic spreader 216 along with the linearaxis manager 214 generates spread data 220. The spread data 220preferably includes spread price and spread market depth, but mayalternatively include other items of interest to the user such as thelast traded price (LTP) and the last traded quantity (LTQ) for a spread.

The linear axis manager 214 represents program code that produces alinear axis of prices in those situations when spread trading certaintradeable objects or using certain spread trading algorithms that wouldnormally result in a non-linear spread axis. The spread data 220 iscommunicated to the GUI manager 218 where it can be displayed in aspread window and traded. The GUI manager 218 is a software application,as shown in FIG. 2, but preferably may work with hardware componentssuch as an input device like a mouse, keyboard, or touch screen, and anoutput device like a monitor, for example.

FIG. 3 is a block diagram illustrating an example spread configurationwindow 300 that can be used to configure spread parameters for tradingspreads. The spread configuration window 300 includes two individuallegs 310 and 312 respectively, although any number of legs may be addedto a spread. In one example embodiment, the spread configuration window300 includes many spread parameters that can be set by a trader tocustomize the spread data feed. As such, the spread parameters maycontrol the behavior of the spread as it is generated and/or displayedand/or traded, depending on the particular parameter.

An example list of spread parameters is provided here. The “Spread Name”302 provides the name of the spread and/or the names of the underlyingtradeable objects. Moreover, the names of the legs are displayed in the“Leg” fields 310 and 312. Alternatively, a trader can personalize thespread by renaming the spread and/or legs to have any desired name.Other parameters include “Inside Slop” 304, “Outside Slop” 306, “LegColor ID” 308, “Implied Spread Price” 314, “Net Change” 316, “CustomerAccount” 318, “Active Quoting” 320, “Adjust for Market Depth” 322,“Consider Own Orders in Illiquid Market” 324, “Offset with” 326, “PayupTicks” 328, “Spread Ratio” 330, “Spread Multiplier” 332, “Offset VolumeMultiplier” 334, “Use Cancel/Replace rather than Change” 336, “PriceReasonability check on leg” 338, and “Market Volatility” 340. A tradermay select “OK” 342 when the spread has been configured to open a spreadwindow and individual leg windows. It will be appreciated by thoseskilled in the art that the parameters above may be flexible and/orchange as circumstances dictate because of the wide range of productsthat can be traded using the automatic spreader. Moreover, the columnsof the spread configuration window 300 can be dragged and dropped suchthat the user can re-arrange the order of the legs, or even add ordelete legs.

III. Determining a Linear Price Axis

FIG. 4 is a flow chart illustrating an example method 400 for providinga linear price axis for a trading strategy, and particularly for aspread. The method 400 will be described in relation to the systemillustrated in FIG. 2 and the spread configuration window shown in FIG.3. Also, it should be understood that the flow chart only shows thefunctionality and operation of a possible implementation of the presentembodiments. In this regard, each block may represent a module, asegment, or a portion of the program code, which includes one or moreexecutable instructions for implementing specific logical functions orsteps in the process. Alternative implementations are included withinthe scope of the example embodiments of the present invention in whichfunctions may be executed out of order from that shown or discussed,including substantially concurrent or in reverse order, depending on thefunctionality involved, as would be understood by those reasonablyskilled in the art of the present invention.

At step 402, the user can use the trading application 210 to access thespread configuration window 300 of the automatic spreader 216. Using thespread configuration window 300, the user can define the legs of thedesired spread and set spread parameters if any. For purposes ofillustration, assume that the user defines “leg A” to be the currencyproduct European Euro/US Dollar (“Eur/USD”) and “leg B” to be thecurrency product Japanese Yen/US Dollar (“Yen/USD”). The resultingspread would be “Euro/Yen.” It is understood that the trader determineswhich tradeable object will be associated with each leg and thatchanging the order could result in a different product. For instance, inthe previous example, if the legs had been defined oppositely, theresulting product would be “Yen/Euro” instead.

At step 404, the user can define the market volatility parameter 340 foreach leg using the same spread configuration window shown 300 in FIG. 3.Alternatively, the market volatility parameters 340 can be preset forparticular tradeable objects. Recall that the market volatilityparameter is an estimate of how much each leg market will fluctuatearound the last traded price (some other price can be used as areference instead of the last traded price). Specifically, a leg marketthat is more volatile might receive a higher market volatility parameterthan a leg market that does not fluctuate as often. For example, themarket volatility parameter for “leg A” or Eur/USD might be defined bythe trader to be a value of “2.” The market volatility parameter for“leg B” or Yen/USD, might also be defined as a value of “2.” As such,the leg markets are expected to fluctuate the same in this example.

A market volatility parameter of “2” means the price can move “2” pricelevels above and “2” price levels below the last traded price, resultingin “5” total prices levels for each leg. Likewise, if a marketvolatility parameter was defined as “4,” that would equate to “9” totalprice levels for the market to fluctuate within. It should also beunderstood that each leg can be different from each other, and may alsobe defined as decimal or percentage value, a price, or a derivative of aprice.

At step 406, using the received market information and the definedmarket volatility parameters for leg A and leg B, the tradingapplication 210 can determine the minimum and maximum prices for eachleg, which represents the estimated price range each leg might fluctuatein the course of trading. These minimum and maximum prices are used toprovide a better estimate of a linear tick increment for the spread andit is understood that the actual leg market may fluctuate beyond theminimum and maximum prices. To determine the minimum and maximum pricesfor the legs, the trading application either subtracts or adds thecorresponding market volatility parameter to or from the last tradedprice for each leg. For example, if the last traded price for leg A is“1000,” then the minimum price is “998” (1000−2) and the maximum priceis “1002” (1000+2). Similarly, if the last traded price for leg B is1000, then the minimum price is “998” and the maximum price is “1002.”Of course, it should be understood that the minimum and maximum pricesfor each leg are only used for further calculations, and any number ofprice levels can be displayed for each leg.

At step 408, the linear manager 214 utilizes the calculated minimum andmaximum prices for each leg from step 406 to determine the minimum andmaximum prices for the spread. Again, it is understood that the spreadmay fluctuate beyond these minimum and maximum prices and that anynumber of prices can be displayed for the spread. Using the dividespread algorithm, the trading application 210 determines the minimumprice for the spread based on the following calculation:Spread Minimum=Minimum of Leg A/Maximum of Leg B0.996008=998/1002

Similarly, the trading application determines the maximum price for thespread based on the following calculation:Spread Maximum=Maximum of Leg A/Minimum of Leg B1.004008=1002/998

At step 410, the trading application 210 may calculate the tickincrement for the spread, by first finding the difference between theminimum and maximum prices for the spread calculated in step 408. Forexample, the difference value may be calculated based on the followingcalculation:Difference Value=Spread Maximum−Spread Minimum0.008=1.004008−0.996008

Using the difference, the trading application 210 determines the tickincrement for the spread by dividing the difference value (computeddirectly above) by the sum of the total market volatility parametervalues, which is actually the total number of price levels. Aspreviously described, although the market volatility parameter isdefined as “2”, the total number of prices levels for that leg isactually “5”, because there are 5 different price levels for the legmarket to fluctuate. The tick increment calculation is as follows:Tick Increment=Difference Value/Sum of Total Price Levels0.0008=0.008/(5+5)

Based on the previous defined calculation, “0.0008” is the linear tickincrement between the price levels of the minimum and the maximum spreadprices of “0.996008” and “1.004008,” respectively.

At step 412, the linear axis manager 214 uses the previously calculatedlinear tick increment and the minimum and maximum spread prices togenerate a linear spread price axis. Beginning at either the minimum ormaximum spread price, the linear tick increment is either added (orsubtracted) to determine the linear spread price axis. Specifically, thelinear tick increment of “0.0008,” is either added to the minimum spreadprice of “0.996008” until the maximum spread price is reached.Alternatively, the linear tick increment of “0.0008” is subtracted fromthe maximum spread price of “1.004008” until the minimum spread price isreached. For example, determining the prices above the current spreadprice is based on the following calculation:spread price 1=minimum spread price+linear tick incrementspread price 2=spread price 1+linear tick incrementspread price 3=spread price 2+linear tick increment

and so on . . . .

For example, the linear spread prices above the minimum spread pricewould be calculated as follows:

spread price 1: 0.996808 = 0.996008 + 0.0008 spread price 2: 0.997608 =0.996808 + 0.0008 spread price 3: 0.998408 = 0.997608 + 0.0008

Likewise, determining the prices below the maximum spread price is basedon the following calculation:spread price A=maximum spread price−linear tick incrementspread price B=spread price A−linear tick incrementspread price C=spread price B−linear tick increment

and so on . . . .

For example, the linear spread price axis below the current spread pricewould be calculated as follows:

spread price A: 1.003208 = 1.004008 − 0.0008 spread price B: 1.002408 =1.003208 − 0.0008 spread price C: 1.001608 = 1.002408 − 0.0008

At step 414, using the GUI Manager 218, the calculated linear spreadprice axis is displayed on a trading screen through the client device212. The linear spread price axis may provide the trader more ease ofuse when trading as well as a more predictable spread axis to trade on.Using the conventional spread algorithm and a non-linear spread priceaxis, the trader is challenged with variably spaced prices andunpredictable price axis where prices may be inserted at any time basedon the prices of the legs. However, the trading system described hereinis able to overcome the deficiencies of the divide spread andconventionally used spread algorithms.

As will be described in greater detail below, through the GUI Manager218 and the trading screen, the prices on the linear spread price axismay be different than the actual prices on a non-linear spread axis (ifa non-linear spread axis was created). As previously described, theprices along the linear spread axis are approximate and calculated withconsistent tick increments. Approximating the prices and placing them atconsistent tick increments allows the trader to trade effectively andefficiently.

FIG. 5 is a block diagram illustrating an example spread trading screencomprising a non-linear price axis and the linear axis manager disabled.Specifically, FIG. 5 includes a spread trading screen 500 containing aworking quantity column 502, bid quantity column 504, ask quantitycolumn 506, and price column 508. The working quantity column 502displays desired orders to buy or sell the spread. The bid quantitycolumn 504 displays buy order quantities available in relation tocertain price levels in price column 508. The ask quantity column 506displays offer order quantities available in relation to certain pricelevels in price column 508. The price column 508 shows price levels innon-linear and variably priced tick increments. FIG. 5 also displaysindicators 510, 512, and 514 depicting price levels that have varyingand inconsistent tick increments. Along with spread trading screen 500,the trading screens for leg A 516 and leg B 518 are displayed in FIG. 5and contain the same columns as displayed in trading screen 500.

Using the divide spread algorithm with the linear axis manager disabled,the prices displayed in the price column 508 on trading screen 500, arecalculated using the prices from leg A 516 and leg B 518. For example,when leg A 516 is trading at a price of “1000” and leg B 518 is tradingat a price of “1000,” the spread price is “1.0000” based on thecalculation: price of leg A/price of leg B=1000/1000=1.0000. Using theprices shown in leg A 516 and leg B 518, the remaining prices alongprice column 508 may be calculated using the same algorithm. It shouldbe understood that there are many other price levels that could bedisplayed along price axis 508 based on all of the possible pricecombinations in the leg A and leg B. However, for the sake ofillustration, the number of price levels displayed has been limited toensure that the non-linear tick increments are understood.

As the prices in the legs fluctuate, trading may occur at many differentprices. Each combination of certain prices in the legs equates to adifferent calculated spread price. Often a new combination of prices inthe legs, will determine a spread price that did not previously existalong price column 508. The new price is then counter-intuitivelyinserted into the price column 508. Not only is this very confusing fora trader, but it also increases the challenges of trading on anon-linear price axis. For example, if leg A 516 is at a price level of1003 and leg B 516 is at a price level of “1002,” the price of“1.000998” would need to be inserted between the price of “1.000000” and“1.000999” along the price column 508.

At indicator 510 on trading screen 500, the price column 508 indicatestwo prices levels, “1.003006” and “1.003003.” The two price levels havea tick increment of “0.000003,” meaning the difference in value betweenthe two price levels is “0.000003.” Intuitively, the trader would thinkthat all the price levels on trading screen 500 would have the sameincrement. However, at indicator 512 the tick increment between the twoprice levels is much larger than the tick increment at indicator 510.Indicator 512, indicates a tick increment of “0.001000,” where the valuebetween level “1.002002” and “1.002000” are separated by a value of“0.000002.” The inconsistencies of the price column 508 continue whenlooking at indicator 514. Price level “0.998999” and price level“0.998004” have a tick increment of “0.000995” between them.

Trading screen 500 presents deficiencies of the divide spread algorithm.Although trading screen 500 contains a price axis on which a tradercould possibly trade, with inconsistent tick increments and a non-linearprice axis, trading may be challenging and difficult. Viewing the priceaxis 508 in a linear format with consistent tick increments allows formore effective, efficient, and intuitive trading. According the exampleembodiments, a linear price axis may be calculated and trading can besimplified.

Just as the spread prices in price column 508 are calculated using theprices from leg A and leg B, the spread quantities are also calculatedusing the quantities from leg A and leg B. The method used to calculatethe quantities is known as bid-to-bid and ask-to-ask and consists ofcomparing the best bid to the bid depth and the best ask to the askdepth from each leg, respectively. However it should be understood thatthere are a variety of methods for determining spread prices andquantities, for example another commonly used method is known asbid-to-ask. Using the bid-to-bid and ask-to-ask method is preferred inthis example as it results in higher chance of the offsetting ordergetting filled at the best bid/ask price, whereas when using thebid-to-ask method if the offsetting order might not get filled asquickly.

In general, the automated trading tool will calculate the bid prices forthe spread, by first comparing the best bid in leg B to the bid depth ofleg A. It will take the minimum quantity between the current two pricesbeing compared and will map that quantity to the corresponding spreadprice. Then the automated trading tool will compare the best ask in legA to the ask depth of leg B. Similarly, the quantities between the twoprices are compared, and the minimum quantity is mapped to thecorresponding spread price. To calculate the ask prices for the spread,the automated trading tool compares the best ask of leg B to the askdepth of leg A. Finally, the best bid of leg A is compared to the biddepth of leg B, to complete the prices on the ask side of the spread. Aspreviously described, the corresponding quantities are compared and theminimum quantity between the two sets of prices is mapped to thecorresponding ask spread price.

For example, to calculate the quantities associated with the spread bidprices in price column 508, the automated spread trading tool firstcompares the best bid of leg B at a price of “1000” against the biddepth of leg A at the prices of “999,” “998,” “997,”, and “996.” Tocalculate quantities, first the best bid quantity in leg B at a price of“1000” is compared to the best bid quantity in leg A at a price of“999.” Since there is less quantity available at the best bid price inleg B, quantity of “20,” than in leg A, quantity of “21,” the tradingsystem recognizes that “20” is the minimum quantity. A quantity of “20”is then associated with the corresponding spread price of“0.999000”=999/1000 or spread price=leg A/leg B.

To continue calculating the spread quantities, the automated spreadtrading tool looks to the next quantity in the bid depth in leg A. Usingthe method described above, the trading system compares the best bid inleg B with a quantity of “21,” to the bid quantity of “64,” at price“998” in leg A. Since the quantity in leg B is less than the quantity inleg A, the quantity from leg B is associated with the spread price of“0.998000”=998/1000.

To calculate the remaining bid quantities for the spread, the automatedtrading tool moves to the next step of comparing the best ask in leg Ato the ask depth of leg B. Specifically, the best ask of leg A is at aprice of “1000” is compared to the ask depth of leg B at a prices of“1001,” “1002,” “1003,” and “1004.” First the best ask quantity of leg Aat a price of “1000” is compared to the best ask quantity of leg B at aprice of “1001.” Since there is less quantity available at the best bidprice in leg B, quantity of “10”, than in leg A, quantity of “15,” thetrading system recognizes that “10” is the minimum quantity. Thus, aquantity of “10” is associated with the corresponding spread price of“0.999001.” The previously described calculations are continued for allof the ask depth in leg B. Once completed, the quantities associatedwith the bid side of the spread market will be calculated and mapped tothe corresponding spread price.

Further, to calculated the spread quantities on the ask side of themarket the automated trading tool first compares the best ask of leg Bto the ask depth of leg A. For example, the best ask in leg B at a priceof “1001” is compared to the best ask in leg A at a price of “1000.”Since there is less quantity available at the best ask price in leg B,quantity of “10,” than in leg A, quantity of “15,” the trading systemrecognizes that “10” is the minimum quantity. Thus, a quantity of “10”is associated with the corresponding spread price of“0.999001”=1000/1001. The previously described calculations arecontinued for the remaining ask depth in leg A.

To finish calculating the remaining ask quantities for the spread, thebest bid of leg A is compared to the bid depth of leg B. Specifically,the best bid quantity of leg A at a price of “999” is compared to thebest bid quantity of leg B at a price of “1000.” Since there is lessquantity available at the best bid price in leg A, quantity of “20”,than in leg B, quantity of “21,” the trading system recognizes that “20”is the minimum quantity. Thus, a quantity of “20” is associated with thecorresponding spread price of “0.999000.” However, since a quantity of“20” has already been associated with the spread price of “0.999000,”the system does not assign an additional “20,” as there are still only amaximum of “20” available to sell, not “40.” The previously describedcalculations are continued for the remaining bid depth in leg B. Oncecompleted, the quantities associated with the ask side of the marketwill be calculated and mapped to the corresponding spread price.

A more detailed description regarding how to calculate a spread quantitycan be found in already incorporated application U.S. patent applicationSer. No. 10/137,979, entitled, “System and Method for PerformingAutomatic Spread Trading,” filed on May 3, 2002 and U.S. patentapplication Ser. No. 10/403,333, entitled, “System and Method forVariably Regulating Automatic Order Entry in an Electronic TradingEnvironment,” filed on Mar. 31, 2003.

FIG. 6 is a block diagram illustrating an example spread trading screencomprising a linear price axis and the linear axis manager enabled.Specifically, FIG. 6 includes a spread trading screen 600 containing aworking quantity column 602, bid quantity column 604, ask quantitycolumn 606, and price column 608. The working quantity column 602displays desired orders to buy or sell the spread. The bid quantitycolumn 604 displays buy order quantities available in relation tocertain price levels in price column 608. The ask quantity column 606displays offer order quantities available in relation to certain pricelevels in price column 608. The price column 608 shows price levels inlinear and consistently priced tick increments. FIG. 6 also displaysindicators 610 and 612 depicting some of the price levels that haveconsistent tick increments. As well as spread trading screen 600, thetrading screens for Leg A 614 and Leg B 616 are displayed and containthe same columns as displayed in trading screen 600.

According to the example embodiments, the prices along the linear priceaxis, price column 608, are calculated using the example methoddescribed with reference to FIG. 4. It should be understood that theinputs used in reference to FIG. 4 are also used in the followingexamples. After defining the legs of the spread, leg A 614 and leg B616, the trader can enable the linear axis manager 214 and define themarket volatility parameters 340. The market volatility parameters canbe associated with each leg A 614 and leg B 616 through the spreadconfiguration window 300 in FIG. 3. The trading application receivesmarket information corresponding to leg A 614 and leg B 616 from theelectronic exchange. Using the received market information, the tradingapplication may calculate the minimum and maximum price for each leg.

Based on the calculated minimum and maximum prices for leg A 614 and legB 616, the minimum and maximum prices for the spread 600 may also becalculated. Similar to the minimum and maximum prices for the legs, theminimum and maximum prices for the spread, determine an approximaterange of prices that the spread market might fluctuate within during aspecific trading session. The minimum and maximum spread prices are“0.996008” and “1.004008,” respectively. To determine the linear tickincrement, the trading application takes the difference between themaximum and minimum spread prices and divides the result by the totalsum of the market volatility parameters. As previously described,although the market volatility parameter for each leg was defined as“2”, the trading application actually relates it to a total of “5” pricelevels; “2” price levels above the last traded price, the last tradedprice, and “2” levels below the last traded price. To determine thelinear tick increment the following calculation would be used:Linear tick increment=(1.004008−0.996008)/(5+5)Linear tick increment=0.0008

The calculated linear tick increment is further used to determine theapproximate prices to be displayed on the linear spread price axis,price column 608. Starting with the minimum or maximum spread price, thetrading application continuously adds or subtracts the linear tickincrement. For example, if the trading application starts at the maximumspread price, the trading application would subtract “0.0008” from“1.004008” and so on, until the minimum spread price of “0.996008” isreached. The calculated approximate prices for the spread make up thelinear spread price axis, displayed at price column 608. As previouslydescribed, the minimum and maximum spread prices are calculated for usein determining the linear spread axis. Of course, once the tickincrement is determined, any number of price levels can be displayed forthe spread, and the number of price levels displayed is not limited tothe number of price levels between the minimum and the maximum spreadprices. Any number of prices levels could be displayed on price column608.

As an alternative embodiment, the trading application could firstcalculate a median spread price and then determine the approximateprices to be displayed on the linear spread axis. Specifically, thetrading application could use the last traded price for leg A and leg Bto determine the median spread price. From the median spread price, thetrading application could add or subtract the linear tick increment todetermine the prices along the spread price axis.

As displayed in spread trading screen 600 in FIG. 6, a linear spreadprice axis has been determined and the linear tick increment isindicated at indicators 610 and 612. Indicator 610 references two pricelevels, “1.002408” and “1.001608,” where the difference between the twoprice levels is “0.0008.” Similarly, at indicator 612, the differencebetween price levels “0.999208” and “0.998408” is also “0.0008.” As canbe seen in price column 608, the linear tick increment between all ofthe price levels is “0.0008.”

According to the example embodiments, the trader will notice that thelinear spread price axis, price column 608, does not necessarily displaythe same spread prices as shown in FIG. 5, but instead approximatespread prices separated by linear tick increments. As seen on pricecolumn 508 in FIG. 5, when the spread prices are displayed, the priceaxis is non-linear with inconsistent tick increments. Referring back toFIG. 6, using approximate spread prices, the price axis is linear withconsistent tick increments between each price level.

As an alternative embodiment, the trading application may provide themeans for the trader to manually override some of the calculated pricesused to determine the linear spread price axis. Specifically, theminimum and maximum spread prices as well as the linear tick incrementmay be defined by the trader. Manually overriding is a useful mechanism,as it allows the trader to determine the precision of the approximatelinear spread axis.

The trading screen 600 illustrated in FIG. 6 can also be used as anorder entry tool. In other words, a trader can set a desired price andquantity for the spread (or trading strategy) by placing an “order” onthe screen and the computer will automatically manage orders in the legsto achieve the desired price. U.S. patent application Ser. No.10/137,979, entitled, “System and Method for Performing Automatic SpreadTrading,” filed on May 3, 2002, which has already been incorporated byreference discloses these concepts. The present application builds onthose concepts and adapts them for use with the linear spread axisgenerated herein; an example is illustrated directly below where thespread is defined as buying in leg A and selling in leg B. Of course,these teachings can be applied by one of ordinary skill to any definedspread or trading strategy.

Accordingly, when a trader sets a desired spread price by placing anorder on the linear spread price axis, the trading system automaticallyplaces a buy order in the leg A based on market information leg B. Itshould be understood that a spread order in this context is really asynthetic one, which is not actually sent to an exchange; rather ordersare placed in the legs of the spread to achieve the parameters of thespread order, like price and quantity of the spread. It should beunderstood that the spread could also be defined as selling in leg A andbuying in leg B, and that any number of legs could be associated with agiven trading strategy.

The trader places an order to buy the spread at “0.998408” on pricecolumn 608. The trading application determines the current best bidprice in leg B 616 is at a price level of “1000.” To achieve theapproximate linear spread price of “0.998408,” an order to buy leg Amust be placed at “998” (e.g., 998 is rounded down from 998.408=1000*0.998408). It should be understood that even though the prices aredifferent, the difference is small enough to be acceptable to thetrader. Now, if the order to buy leg A gets filled, then the tradingtool will send an offsetting order to sell leg B at “1000.” Notice thatthe actual spread price achieved would be “0.998” (and not the desiredprice of 0.998408), because of the linear approximations made ingenerating the linear axis (e.g., due to the rounding down). Accordingto the example embodiments, the prices and quantities on the bid side ofthe market are rounded down and the prices and quantities of the askside of the market are rounded up. It should be understood that anymethod of rounding could be used. For example, the trading system couldround all prices and quantities up or all prices and quantities down.

If the trader places a order to buy the spread at a price level of“0.998048” on the approximate linear spread price axis, and the price ofleg B 614 moved up to the price level of “1001,” the trading applicationwould determine that the order to buy in leg A 616 should be re-pricedto “999” (e.g., 999 is rounded down from 999.406408=1001*0.998408),unless the concepts of slop are applied. Slop is an input that allowssome defined amount of market movement to occur in leg B, before theorder in leg A is re-priced to maintain the desired spread price. Theconcept of slop is described in U.S. patent application Ser. No.10/137,979, entitled, “System and Method for Performing Automatic SpreadTrading,” filed on May 3, 2002, which has already been incorporated byreference. If this trading strategy is executed, the order to buy in legA is filled and the order to sell in leg B is filled at these prices,and the actual achieved spread price would be “0.998001”(0.998001=999/1001).

According to the previously described example embodiments, prices alonga linear spread axis are approximate and represent a group of pricesfrom the non-linear price column 508. Likewise, the spread quantitiesalso represent the quantities associated with the group of spread pricesfrom price column 508. The trading application determines whichapproximate spread price to associate with a price from price column 508with by rounding prices and quantities on the bid side of the marketdown and prices and quantities on the ask side of the market up.According to the example embodiments, the price “0.999002” with aquantity of “0” and price “0.999001” with a quantity of “30”, are bothrounded down to be grouped together within the linear spread price of“0.998408” with a quantity of “30” along price column 608. Specifically,the prices “0.999002” and “0.999001” are rounded down to the nextapproximate linear price of “0.998404” and the quantities of “30” and“0” are combined to determine the spread quantity of “30.”

Similarly, according to the example embodiments, the price “1.002006”with a quantity of “7,” price “1.002004” with a quantity of “0,” price“1.002002” with a quantity of “0,” and price “1.001998” with a quantityof “10” are rounded up and grouped together within the linear spreadprice of “1.002408” with a quantity of “17” from spread window 600.Specifically, the prices “1.002006,” “1.002004,” “1.002002,” and“1.001998” are rounded up to the next approximate linear price of“1.002408.” The quantities of “7,” “0,” “0,” and “10” are combined todetermine the spread quantity of “17.” The remaining spread quantitiesassociated with the linear prices in price column 608 are calculatedusing the same method as previously described.

CONCLUSION

The example embodiments discussed above describe a trading applicationthat determines a linear spread price axis. To determine the linearspread price axis according to one example embodiment, the tradingapplication allows a trader to define market volatility parameterscorresponding to each leg of a spread. Once the market volatilityparameters are defined, the trading application utilizes the receivedmarket information and the divide spread algorithm to determine a lineartick increment. The linear tick increment is further used to determinethe complete linear spread price axis for the trader to place spreadorders on.

Along with being able to trade more effectively and efficiently, thetrader is relieved of the hassle of trying to determine the tickincrement between the prices found on a non-linear price axis. A traderwill be able to focus their attention on market conditions, placing newspread orders, and managing their existing spread orders instead ofattempting to comprehend the inconsistent non-linear price axis.

The above description of the example embodiments, alternativeembodiments, and specific examples, are given by way of illustration andshould not be viewed as limiting. Further, many changes andmodifications within the scope of the present embodiments may be madewithout departing from the spirit thereof, and the present inventionincludes such changes and modifications.

It will be apparent to those of ordinary skill in the art that methodsinvolved in the system and method for dynamically determining quantityfor risk management may be embodied in a computer program product thatincludes one or more computer readable media. For example, a computerreadable medium can include a readable memory device, such as a harddrive device, CD-ROM, a DVD-ROM, or a computer diskette, having computerreadable program code segments stored thereon. The computer readablemedium can also include a communications or transmission medium, suchas, a bus or a communication link, either optical, wired or wirelesshaving program code segments carried thereon as digital or analog datasignals.

The claims should not be read as limited to the described order orelements unless stated to that effect. Therefore, all embodiments thatcome within the scope and spirit of the following claims and equivalentsthereto are claimed as the invention.

1. A method for providing a linear price axis for a trading strategy inan electronic trading environment, the method comprising: receiving by acomputing device a definition for a trading strategy comprising a firsttradeable object and a second tradeable object, wherein the definitiondefines a relationship between the first tradeable object and the secondtradeable object, wherein the trading strategy has non-linear tickincrements based on the relationship; receiving by the computing devicemarket information comprising information associated with executedtrades for the first tradeable object and the second tradeable object;receiving by the computing device a first market volatility parametercorresponding to the first tradeable object and a second marketvolatility parameter corresponding to the second tradeable object;generating by the computing device a linear price axis for the tradingstrategy, the trading strategy having non-linear tick increments basedon the defined relationship, by: determining by the computing device atotal number of price levels for the trading strategy by adding thefirst market volatility parameter to the second market volatilityparameter; determining by the computing device a minimum price for thetrading strategy based on the definition for the trading strategy andthe market information; determining by the computing device a maximumprice for the trading strategy based on the definition for the tradingstrategy and the market information; calculating by the computing devicea difference value by subtracting the minimum price from the maximumprice; calculating by the computing device a linear tick increment forthe trading strategy by dividing the difference value by the totalnumber of price levels; and generating by the computing device thelinear price axis for the trading strategy based on the linear tickincrement, wherein the linear price axis comprises a plurality of pricelevels, wherein each price level corresponds to a price for the tradingstrategy, wherein the linear tick increment represents a consistentinterval between price levels; and displaying at a client device thelinear price axis.
 2. The method of claim 1, further comprising: mappinga quantity for the trading strategy at a particular rice to the linearprice axis, wherein the particular price of the quantity is rounded upor down to the nearest price level of the linear price axis.
 3. Themethod of claim 1 further comprising: providing an order entry regioncomprising a plurality of locations, wherein each location is adapted toreceive a command to place an order for the trading strategy, whereineach location corresponds to a price level of the linear price axis. 4.The method of claim 1, further comprising: dynamically displaying afirst indicator at a first area in relation to a first price level ofthe linear price axis, the first indicator being associated with thehighest bid price currently available to buy according to the tradingstrategy; and dynamically displaying a second indicator at a second areain relation to a second price level of the linear price axis, the secondindicator being associated with the lowest ask price currently availableto sell according to the trading strategy.
 5. The method of claim 1,wherein the first and second market volatility parameters areuser-defined values.
 6. The method of claim 1, wherein the first andsecond market volatility parameters are different values.
 7. The methodof claim 1, further comprising: determining the minimum price for thetrading strategy by dividing a first lowest price by a second highestprice; determining the maximum price for the trading strategy bydividing a first highest price by a second lowest price.
 8. The methodof claim 7, further comprising: determining the first lowest price bysubtracting the first market volatility parameter from a last tradedprice for the first tradeable object; determining the first highestprice by adding the first market volatility parameter to the last tradedprice for the first tradeable object; determining the second lowestprice by subtracting the second market volatility parameter from a lasttraded price for the second tradeable object; and determining the secondhighest price by adding the second market volatility parameter to thelast traded price for the second tradeable object.
 9. The method ofclaim 1, further comprising: receiving a command to place a tradingstrategy order at a spread price along the linear price axis; placing afirst order at a first order price for the first tradeable object basedon the market information from the second tradeable object; andcalculating an effective price for the trading strategy order bydividing the first order price by market information from the secondtradeable object.
 10. The method of claim 9, further comprising:displaying an indicator for the trading strategy order in relation to afirst price of prices en of the linear price axis, wherein the firstprice is determined as the price in the plurality of prices nearest tothe effective price for the trading strategy order.
 11. The method ofclaim 10, wherein determining which of the plurality of prices of thelinear price axis is nearest to the effective price for trading strategyorder is user-defined.
 12. The method of claim 1, further comprising:determining the minimum price for the trading strategy by multiplying alowest price for the first tradeable object by a highest price for thesecond tradeable object; determining the maximum price for the tradingstrategy by multiplying a highest price for the first tradeable objectby a lowest price for the second tradeable object.
 13. The method ofclaim 1, wherein at least one of the minimum and maximum prices for thetrading strategy is manually overridden.
 14. The method of claim 1,wherein the definition for the trading strategy defines a divide spreadrelationship for the first tradeable object and the second tradeableobject.
 15. The method of claim 1, wherein the definition for thetrading strategy defines a multiply spread relationship for the firsttradeable object and the second tradeable object.
 16. A computerreadable medium having executable instructions which can be executed bya processor to cause a network device to perform a method, comprising:receiving by a computing device a definition for a trading strategycomprising a first tradeable object and a second tradeable object,wherein the definition defines a relationship between the firsttradeable object and the second tradeable object, wherein the tradingstrategy has non-linear tick increments based on the relationship;receiving by the computing device market information comprisinginformation associated with executed trades for the first tradeableobject and the second tradeable object; receiving by the computingdevice a first market volatility parameter corresponding to the firsttradeable object and a second market volatility parameter correspondingto the second tradeable object; generating by the computing device alinear price axis for the trading strategy, the trading strategy havingnon-linear tick increments based on the defined relationship, by:determining by the computing device a total number of price levels forthe trading strategy by adding the first market volatility parameter tothe second market volatility parameter; determining by the computingdevice a minimum price for the trading strategy based on the definitionfor the trading strategy and the market information; determining by thecomputing device a maximum price for the trading strategy based on thedefinition for the trading strategy and the market information;calculating by the computing device a difference value by subtractingthe minimum price from the maximum price; calculating by the computingdevice a linear tick increment for the trading strategy by dividing thedifference value by the total number of price levels; and generating bythe computing device the linear price axis for the trading strategybased on the linear tick increment, wherein the linear price axiscomprises a plurality of price levels, wherein each price levelcorresponds to a price for the trading strategy, wherein the linear tickincrement represents a consistent interval between price levels; anddisplaying at a client device the linear price axis.